Apache Kafka Reviews & Product Details

High throughput and low latency, scalability ,Durability & Fault Tolerance ,replay ability & Retention Kafka retains messages for a configurable period, allowing consumers to reprocess data or recover from failures without losing information Review collected by and hosted on G2.com.

Operational complexity, High resource consumption, limited Message Queuing Features Review collected by and hosted on G2.com.

Kafka handles large volumes of data really well and is very reliable once set up properly. We use it for real-time data processing between different parts of our system. It's fast, fault-tolerant, and can scale easily when traffic grows. The publish-subscribe model makes it simple to connect producers and consumers across different services. Review collected by and hosted on G2.com.

Initial setup and configuration can be a bit tricky, especially if you’re new to distributed systems. Managing brokers and zookeepers manually can get complex. Also, monitoring and debugging issues sometimes takes extra effort unless you have good tooling in place. Review collected by and hosted on G2.com.

High Performance and easy to use as event driven in Microservices Review collected by and hosted on G2.com.

need more supporting AI in applications Review collected by and hosted on G2.com.

Kafka is highly scalable and easy to manage.

Its disctributed architecture makes it handy for big organisation like ours.

Easy to integrate with our java based applications.

Very happy with the product. Review collected by and hosted on G2.com.

We have not encountered anything so far in our use. Review collected by and hosted on G2.com.

Kafka is a distributed streaming platform, which designed for high-scalability use cases, event streaming, and log processing. Review collected by and hosted on G2.com.

There are some requirement (mission-critical transaction processing) from finance teams where data integrity, consistency, and security are more prominent concerns than in typical Kafka applications. Review collected by and hosted on G2.com.

There are many things for which KAFKA has been very useful , few of them are listed below -

1. Performance have been superb.

2. The reliability has improved a lot in recent couple of years.

3. A common solution for both on-prem & cloud basedrequirements. Review collected by and hosted on G2.com.

Not many I can think of - Initially we had faced some reliability issue but now that is sorted.Apart from that I have faced issue while troubleshooting (rarely required) Review collected by and hosted on G2.com.

- Offset replays helps to replay events

- partitioning helps in multi processing

- multi cluster support

- ease of use

- great community Review collected by and hosted on G2.com.

- Learing curve it bit steap

- python support is less Review collected by and hosted on G2.com.

Best option when you want to build and control a huge event driven system Review collected by and hosted on G2.com.

Less performance when you have a auto scaling system Review collected by and hosted on G2.com.

Kafka is easy to use and implementation is kafka is easy to understand. It has fault tolerance feature so that there will be no data loss. Review collected by and hosted on G2.com.

Till now I haven't faced any issues, it is good. Review collected by and hosted on G2.com.

I love using Kafka because helps me to send the data to streamsets and also store it there itself. Review collected by and hosted on G2.com.

As of now I haven't faced any issues with this. Review collected by and hosted on G2.com.